DocumentCode
394523
Title
Symmetric residue pyramids - an extension of Burt Laplacian pyramids
Author
Rakshit, Subrutu ; Nema, Malay K.
Author_Institution
Centre for Artificial Intelligence & Robotics, Bangalore, India
Volume
3
fYear
2003
fDate
6-10 April 2003
Abstract
The Laplacian pyramid was proposed as a compact image code by Burt (1983). However, it is shown that it does not achieve optimal signal compaction due to significant overlap between subbands in the frequency domain. In addition, it also leads to a slightly redundant signal representation. An extension of the Laplacian pyramid is proposed that exploits this redundancy to achieve better signal compaction. In contrast to the unidirectional fine to coarse approach used by all multiscale representations, the proposed signal representation adopts a bi-directional approach. Each subband finally depends on both its coarser and finer neighboring subbands. The representation is symmetric in the sense that each subband is a product of an approximation process (based on a finer approximation) as well as a prediction process (based on a coarser approximation). Applications are in the areas of image characterisation, zooming and compression.
Keywords
data compression; image coding; image representation; interpolation; prediction theory; transform coding; wavelet transforms; Burt Laplacian pyramids; approximation process; compact image code; frequency domain; image characterisation; image compression; image interpolation; image zooming; multiscale representations; prediction process; redundant signal representation; signal compaction; signal representation; subbands independence; subbands overlapping; symmetric residue pyramids; unidirectional fine to coarse approach; Artificial intelligence; Compaction; Filters; Frequency domain analysis; Image coding; Image reconstruction; Laplace equations; Pixel; Robots; Signal representations;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-7663-3
Type
conf
DOI
10.1109/ICASSP.2003.1199470
Filename
1199470
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